The world will be unrecognisable in 5 years.
Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a species.
Soon, we’ll conjure unlimited content: from never-ending TV series (where we’re the main character) to personalised tutors that are infinitely patient and leave no student behind. We’ll augment our memories with foundation models —individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces—blurring the lines between organic and machine intelligence and ushering in the next generation of human development.
This future demands immense, globally accessible, uncensorable, computational power. Gensyn is the machine learning compute protocol that translates machine learning compute into an always-on commodity resource—outside of centralised control and as ubiquitous as electricity—accelerating AI progress and ensuring that this revolutionary technology is accessible to all of humanity through a free market.
Our Principles:
AUTONOMY
- Don’t ask for permission – we have a constraint culture , not a permission culture.
- Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs.
- Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing.
- No middle managers – we don’t (and will likely never) have middle managers.
FOCUS
- Small team – misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams.
- Thin protocol – build and design thinly .
- Reject waste – guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding .
REJECT MEDIOCRITY
- Give direct feedback to everyone immediately rather than avoiding unpopularity , expecting things to improve naturally, or trading short-term pain for extreme long-term pain.
- Embrace an extreme learning rate rather than assuming limits to your ability/knowledge.
Responsibilities
Contribute and maintain – develop Gensyn node, CLI and accompanying tools implementing new features (ranging from introducing new CLI flags and ML execution orchestration to implementing new network protocols), optimising existing solutions (for example utilising memory mapped files or introducing more efficient data structures), fixing bugs and participating in architecture design
Continuous integration and delivery – implement and maintain CI/CD pipelines responsible for regression testing, documentation publishing and upgrading Gensyn runtime and introduce new ways to automate chores
Code reviews – maintain our high code quality standard by doing code reviews
Security audits – collaborate on internal and external audits, apply and deploy mitigations in production and disclose responsibly
Implement novel research – build out newly proposed mechanisms and algorithms to solve never-tackled-before problems
Follow best practices – build in the open with a keen focus on designing, testing, and documenting your code
Write & engage – contribute to technical reports/papers describing the system and discuss with the community
Minimum requirements
✅ Excellent knowledge of any programming language – preferably Rust, C++, C, Golang, Python, or similar.
✅ Strong willingness to learn Rust – as a Rust by default company, we require that everyone learns Rust so that they have context/can work across the entire codebase
✅ Computer science background – understanding of computational complexity (time, space) and broad knowledge of algorithms and data structures
✅ Operating system fundamentals – preferably Linux, practical experience with network sockets, process life cycle, Unix-like shells and filesystems
✅ Networking – understanding and troubleshooting experience of most common networking protocols: IP, TCP, UDP,
✅ Highly self-motivated with excellent verbal and written communication skills
✅ Comfortable working in an applied research environment – with extremely high autonomy
Nice to haves
Rust – strong experience with systems programming in Rust (you know what a ‘lifetime is and understand the purpose of Pin )
Distributed systems – experience designing or working with distributed systems that required fault tolerance, low latency and high availability
Open source work – experience working with large open source codebases – either as maintainer or trusted contributor
Knowledge of deep learning – solid theoretical grasp of how deep learning models function
Blockchain – understanding of blockchain fundamentals
Compensation / Benefits:
Competitive salary + share of equity and token pool
Fully remote work – we hire between the West Coast (PT) and Central Europe (CET) time zones
4x all expenses paid company retreats around the world, per year
Whatever equipment you need
❤️ Paid sick leave
Private health, vision, and dental insurance – including spouse/dependents [ only]
Go Code review CI/CD Python Linux Networking TCP/IP UDP C++ programming-languages distributed-systems high-availability deep-learning Machine Learning Rust Blockchain